an-operant-intra-extra-dimensional-set-shift-task-for-mice

An Operant Intra-/Extra-dimensional Set-shift Task for Mice

Alterations in executive control and cognitive flexibility, such as attentional set-shifting abilities, are core features of several neuropsychiatric ...

Istituto Italiano di Tecnologia

Catechol-O-methyltransferase (COMT) is a promising target for modulation of cognitive functions and dysfunctions. COMT dominates the regulation of dopamine metabolism in the prefrontal cortex. Thus, COMT effects are particularly evident in prefrontal cortex-dependent cognitive functions including executive control, working memory, attentional control and long-term memory. This has been determined by both genetic and pharmacological studies that we will highlight in the present review. In particular, we will discuss how common functional variants of the COMT gene may predict individual variation in selective cognitive abilities and vulnerability to cognitive deficits that characterize several neuropsychiatric disorders. Moreover, COMT genetic variants represent one source of individual differences in the cognitive responses to medications such as those used in psychiatric illnesses. COMT genetic testing may then predict some cognitive dysfunctions often seen in certain psychiatric illnesses even from presymptomatic stages and the efficacy/dosage of drugs used to treat them. The consideration of COMT-dependent differences may be important for the development of more efficient personalized healthcare.

COMT as a drug target for cognitive functions and dysfunctions.

Alterations in executive control and cognitive flexibility, such as attentional set-shifting abilities, are core features of several neuropsychiatric diseases. The most widely used neuropsychological tests for the evaluation of attentional set shifting in humans are the Wisconsin Card Sorting Test and the Cambridge Neuropsychological Test Automated Battery Intra-/Extra-Dimensional set-shift task (ID/ED). These tasks have proven clinical relevance and have been successfully adapted for monkeys. However, similar tasks currently available for rodents are limited, mainly because of their manual-based testing procedures. The current limitations of rodent attentional set-shifting tasks are hampering translational advances in psychiatric medicine.

The ultimate intra-/extra-dimensional attentional set-shifting task for mice.

Social interactions are made of complex behavioural actions that might be found in all mammalians, including humans and rodents. Recently, mouse models are increasingly being used in preclinical research to understand the biological basis of social-related pathologies or abnormalities. However, reliable and flexible automatic systems able to precisely quantify social behavioural interactions of multiple mice are still missing. Here, we present a system built on two components. A module able to accurately track the position of multiple interacting mice from videos, regardless of their fur colour or light settings, and a module that automatically characterise social and non-social behaviours. The behavioural analysis is obtained by deriving a new set of specialised spatio-temporal features from the tracker output. These features are further employed by a learning-by-example classifier, which predicts for each frame and for each mouse in the cage one of the behaviours learnt from the examples given by the experimenters. The system is validated on an extensive set of experimental trials involving multiple mice in an open arena. In a first evaluation we compare the classifier output with the independent evaluation of two human graders, obtaining comparable results. Then, we show the applicability of our technique to multiple mice settings, using up to four interacting mice. The system is also compared with a solution recently proposed in the literature that, similarly to us, addresses the problem with a learning-by-examples approach. Finally, we further validated our automatic system to differentiate between C57B/6J (a commonly used reference inbred strain) and BTBR T+tf/J (a mouse model for autism spectrum disorders). Overall, these data demonstrate the validity and effectiveness of this new machine learning system in the detection of social and non-social behaviours in multiple (>2) interacting mice, and its versatility to deal with different experimental settings and scenarios.

Automatic visual tracking and social behaviour analysis with multiple mice.

Intranasal administration of oxytocin (OXT) might be a promising new adjunctive therapy for mental disorders characterized by social behavioral alterations such as autism and schizophrenia. Despite promising initial studies in humans, it is not yet clear the specificity of the behavioral effects induced by chronic intranasal OXT and if chronic intranasal OXT could have different effects compared with single administration. This is critical for the aforementioned chronic mental disorders that might potentially involve life-long treatments. As a first step to address these issues, here we report that chronic intranasal OXT treatment in wild-type C57BL/6J adult mice produced a selective reduction of social behaviors concomitant to a reduction of the OXT receptors throughout the brain. Conversely, acute intranasal OXT treatment produced partial increases in social behaviors towards opposite-sex novel-stimulus female mice, while on the other hand, it decreased social exploration of same-sex novel stimulus male mice, without affecting social behavior towards familiar stimulus male mice. Finally, prolonged exposure to intranasal OXT treatments did not alter, in wild-type animals, parameters of general health such as body weight, locomotor activity, olfactory and auditory functions, nor parameters of memory and sensorimotor gating abilities. These results indicate that a prolonged over-stimulation of a 'healthy' oxytocinergic brain system, with no inherent deficits in social interaction and normal endogenous levels of OXT, results in specific detrimental effects in social behaviors.

Chronic and acute intranasal oxytocin produce divergent social effects in mice.

Genetic variations in catechol-O-methyltransferase (COMT) that modulate cortical dopamine have been associated with pleiotropic behavioral effects in humans and mice. Recent data suggest that some of these effects may vary among sexes. However, the specific brain substrates underlying COMT sexual dimorphisms remain unknown. Here, we report that genetically driven reduction in COMT enzyme activity increased cortical thickness in the prefrontal cortex (PFC) and postero-parieto-temporal cortex of male, but not female adult mice and humans. Dichotomous changes in PFC cytoarchitecture were also observed: reduced COMT increased a measure of neuronal density in males, while reducing it in female mice. Consistent with the neuroanatomical findings, COMT-dependent sex-specific morphological brain changes were paralleled by divergent effects on PFC-dependent working memory in both mice and humans. These findings emphasize a specific sex-gene interaction that can modulate brain morphological substrates with influence on behavioral outcomes in healthy subjects and, potentially, in neuropsychiatric populations.

Diego Scheggia

Department of Neuroscience and Brain Technologies

Istituto Italiano di Tecnologia

An Operant Intra-/Extra-dimensional Set-shift Task for Mice

Diego Scheggia

.css-o250i3{font-size:18px;font-family:Open Sans,sans-serif;line-height:21.6px;}Department of Neuroscience and Brain Technologies

Istituto Italiano di Tecnologia

An Operant Intra-/Extra-dimensional Set-shift Task for Mice

Department of Neuroscience and Brain Technologies